Ml, Databases, Software Development, Google Cloud Platform, Distributed Systems, compute technologies, Ai, observability products, large-scale infrastructure, data platform, performance troubleshooting, Cloud assist integrations, Hardware Architecture

Java, Javascript, C, Python, engineering best practices, telemetry monitoring, security-first development, AI-native tools, Responsible AI practices, code quality

Java, Node.js, Spring Boot, Kafka, Redis, Ansible, MySQL, Reactjs, Elasticsearch, MongoDB, Webpack, Python, AWS, Elastic Stack, Storybook, Next.js

bedrock , Terraform, Cloud Engineering, Infrastructure as Code, Sagemaker, Platform Availability, Vertex AI, AI Platforms, CoPilot, Security

data engineering , snowflake , Cloud Architecture, Pyspark, Tableau, Data Governance, Sql, Gcp, Powerbi, Data Integration, Databricks, Excel, Azure, Python, AWS, Cloud-based databases, Synapse, ML pipelines, Data Operations, dbt, Data quality frameworks

data engineering , Java, S3, Hadoop, Scala, Big Data Technologies, Nodejs, Emr, Data Modeling, Redshift, Sql, Hive, Ec2, Spark, Python, AWS Tools and Technologies, ETL pipelines

Java, Docker, Kubernetes, AWS, DevOps practices and tooling, Full stack architecture, Modular software development, Microservice architectures, Highly scalable systems, Multi-tenant architecture

Google Cloud, Python, AI tools, Architectural or distributed systems

Enterprise software deployment, Agile delivery, Project management, System reliability

data engineering , Java, S3, Data Modeling, Hadoop, Scala, Nodejs, Emr, Redshift, Sql, Hive, Ec2, Big Data Technologies, Spark, Python, AWS Tools, ETL Pipelines